agentware: Skill for Claude Code

.claude/skills/threat-modeling/SKILL.md

threat-modeling is a skill for Claude Code from r5rana/agentware. It costs 148 tokens per session (2,547 once invoked), scanned A, original, Apache-2.0.

A security-design procedure based on STRIDE, a method for classifying threats, plus data-flow diagrams and trust-boundary analysis. It examines what could go wrong in a system or integration before implementation.

In plain words
What is it for?
Use it to analyze new systems, endpoints, integrations, queues, data flows, or agent loops, and to map their attack surfaces and trust boundaries.
Why use it?
It turns a design into a prioritized list of possible attacks and weaknesses, helping teams decide protections before code exists. It is intended to sit between security requirements work and code scanning.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

This is r5rana/agentware's own configuration. It tells Claude Code how to work on agentware itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentware configures →

Reuse

Borrowing it

Nothing to install: this file belongs to r5rana/agentware. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/r5rana/agentware/main/.claude/skills/threat-modeling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/r5rana/agentware

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for threat-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/r5rana/agentware/threat-modeling/github.svg)](https://agentmods.dev/skills/r5rana/agentware/threat-modeling)
Your own site
<a href="https://agentmods.dev/skills/r5rana/agentware/threat-modeling"><img src="https://agentmods.dev/badge/skills/r5rana/agentware/threat-modeling/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for threat-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/r5rana/agentware/threat-modeling"><img src="https://agentmods.dev/badge/skills/r5rana/agentware/threat-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,547 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00148 $0.02547
Opus 5 $0.00074 $0.01273
Sonnet 5 $0.00030 $0.00509
Haiku 4.5 $0.00015 $0.00255

Measured 9d ago against content hash 00a376d6f495, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

threat-modeling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/threat-modeling/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Threat Modeling (STRIDE)

Portable Agent Skill (agentskills.io open standard). The YAML frontmatter above is the spec-compliant contract: name equals the folder name and description is the routing text. The body is HARNESS-AGNOSTIC — no hardcoded invocation syntax, no harness-only frontmatter. It needs no network and no external tools; it is a structured reasoning procedure applied to a design.

When to invoke: at design time, when a system or feature is being scoped and you need to enumerate WHAT can go wrong before deciding HOW to defend. Trigger it when the user asks to "threat model", run a "STRIDE analysis", map an "attack surface", or reason about abuse of a new endpoint, data flow, integration, queue, or agent/LLM loop. Use it AFTER secure-by-design has framed the requirements and BEFORE sast-audit scans real code: this skill produces the prioritized threat list those two bracket.

Why this skill exists

A requirements checklist (secure-by-design) tells you which controls a feature generally needs; a scanner (sast-audit) finds flaws in code that already exists. Neither systematically answers "given THIS architecture, what is the specific set of things an attacker can attempt, ranked by how much they hurt?" Threat modeling does. Without a written procedure, ad-hoc threat reasoning is biased toward the threats the author already knows and silently skips whole categories (repudiation, denial of service, elevation of privilege). STRIDE plus a data-flow decomposition forces coverage: every element of the system is walked against every threat category, so gaps surface as explicit "N/A, because…" notes rather than invisible omissions. The output is a durable artifact — a ranked threat table with a mitigation per threat — that the build, the tests, and a later security review all consume.

Prerequisites

  • A description of the design: its components, the data they exchange, who calls them, and what they depend on externally. If the architecture is unstated or vague, ASK before modeling — a threat model built on a guessed data flow enumerates the wrong threats.
  • This skill ENUMERATES and PROPOSES; it never weakens a control and never auto-applies an irreversible change (R-AUTO-02). Its product is analysis, not edits to running systems.
  • Treat all crossing data — user input, third-party responses, file content, tool/LLM output — as untrusted at every boundary (R-SEC-02). Never put secrets in the model artifact, logs, or examples (R-SEC-01).

Read the full file on GitHub · 202 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 202 lines · 148 tokens per session scan A 00a376d6f495

Subscribe to this mod's changes

threat-modeling is a skill published in the GitHub repository r5rana/agentware (24 stars, last pushed 22d ago), licensed Apache-2.0. It adds 148 tokens to every session and 2,547 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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